We are on a journey here to operationalise machine learning using Kubernetes. Call it MLOps, AIOPs, DataOps, DevOps, as you will. Next stop is to lay the foundation for implementing CI/CD pipelines to move our assets safely through development, canary testing and production environments. Let’s show that here by laying out a build/tag/promote cycle with […]
Everyone’s talking about Istio. Let’s mess around with Kubernetes’ Minikube to show off Istio and see what all the fuss is about. We will do this by reworking the OpenShift MiniLabs A/B Deployment example to work with Istio. Once completed invoking a URL such as http://192.168.86.66:31329 will alternate between the A/B versions of the application.
Let’s mess around with Kubernetes’ Minikube and learn how to use it to launch an application with an ingress point, external configuration and volume claims. We will do this by reproducing a bunch of OpenShift MiniLabs and hack around with a bunch of kubectl commands and Kubernete’s yaml resource files in the process. Now for a […]
Let’s set up a data science workbench on OpenShift (docker/kubernetes). The components will be an RStudio Server executing SparkR instructions to a remote Apache Spark instance, all hosted within a local OpenShift cluster instance. Examples include processing AWS S3 Bucket hosted data from Spark. So saddle up and ride ole’ Roxy all the way! This lab is another in […]
